Author profile

Chris Armit

I am a Developmental Biologist with a strong interest in image informatics and 3D imaging. I studied Developmental Biology (BSc) and Pathology (PhD) at the University of Edinburgh, and continued my research in the ‘wet lab’ as a Postdoctoral Scientist at the Netherlands Cancer Institute, Amsterdam. On returning to Scotland, I switched over to the ‘dry lab’ and pursued a career in 3D Imaging and Transcriptomics, which included an intensive MPhil course in 3D Imaging and 3D Graphics at the prestigious Digital Design Studio of the Glasgow School of Art. Positions I have held include Senior Editor for the Edinburgh Mouse Atlas Project, and Deputy Senior Editor for the NIH/NIDDK-funded GUDMAP Project. I am based in Edinburgh where I work remotely as a Data Scientist for the Big Data journal GigaScience.

Another Virtual Birthday: GigaScience at ISMB2021

- August 2, 2021

ISMB2021 logo

ISMB2021 was held online again so GigaScience had to celebrate their birthday with a video & virtual cake cutting, plus this writeup of the talks by Chris Armit

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Changing the Culture of Data Management and Sharing: A Report on the NASEM Workshop

- May 26, 2021

changing culture of data sharing

The National Academies of Sciences, Engineering, and Medicine (NASEM) hosted the virtual workshop “Changing the Culture of Data Management and Sharing”. Here we have a write-up of the event.

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A neuroinformagical reunion at the virtual INCF Assembly

- April 26, 2021

The International Neuroinformatics Coordinating Facility (INCF) hosted their virtual Neuroinformatics Assembly & Chris Armit have a neuroinformagical write-up.

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GigaScience at VIZBI 2021

- April 14, 2021

VIZBI 2021 poster

GigaScience are huge fans of the VIZBI – Visualising Biological Data – conference and our Data Scientist Chris Armit details the major highlights of VIZBI 2021.

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GigaScience at Cell Bio 2020 Virtual

- January 5, 2021

Cell Bio Virtual 2020

Chris Armit attended Cell Bio 2020 Virtual (the online ASCB|EMBO Meeting) and here provides a write-up of the excited Cell Biology on display in this conference.

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Predicting the Outcome of COVID-19: GigaScience at the Human Cell Atlas COVID-19 Virtual Symposium

- October 23, 2020

cell atlas symposium

The Human Cell Atlas organised a COVID-19 Virtual Symposium on the 1st and 9th October 2020 to highlight important research findings in host responses, pathophysiology, and immunology. Chris Armit from the GigaScience team attended this virtual conference and report below on some of the key investigations that are helping us to understand the mechanisms of COVID-19 disease.

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Updates from sequencing the tree of life. Biodiversity Genomics 2020

- October 22, 2020

Biodiversity Genomics

Biodiversity Genomics 2020 was a virtual event aiming to bring together researchers across the world to “sequence life for the future of life”, sequencing all of the corners of the tree of life.

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Diversity, Ancestry, and the Tenacious Concept of Race: GigaScience at GA4GH

- October 5, 2020

GA4GH increases diversity

Diversity, Ancestry, and the Tenacious Concept of Race The Global Alliance for Genomics and Health (GA4GH) is a policy-framing and technical standards-setting organization, seeking to enable responsible genomic data sharing within a human rights framework. GigaScience are organisational members, and their meeting often coincides with the American Society of Genetics meeting that sometimes participate in […]

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Birthdays and Online Conferences go Viral. ISMB2020 & BCC2020 in the time of COVID-19

- July 27, 2020

virtual conferences go viral

Meetings In the Time of Coronavirus: Conferences go Viral June-July usually marks peak conference season when the GigaScience team is on the road, but with the COVID-19 pandemic shutting down travel and public gatherings it has been a strangely static summer. As we launched at the Intelligent Systems for Molecular Biology (ISMB) conference in Long […]

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Medical Imaging with Deep Learning in the Time of Coronavirus

- July 14, 2020

MIDL2020

Montréal was the venue for Medical Imaging with Deep Learning 2020 (MIDL 2020) that took place on 6-9 July 2020. Due to the COVID-19 crisis, like many meetings this year (such as the ISMB conference we attend every year), the new normal has been to make it a virtual conference. GigaScience Data Scientist Chris Armit […]

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